Retro

tools/retro/examples/pretrain_model.sh

+#!/bin/bash
+
+##################################################
+# Example script for pretraining Retro.
+##################################################
+
+set -u
+unset NCCL_DEBUG
+export CUDA_DEVICE_MAX_CONNECTIONS=1
+
+NPROCS=8 # NPROCS must be <= number of GPUs.
+
+################ Dataset configs. ################
+# This script contains methods to customize arguments to specific dataset
+# types. Customize this script as needed for your datasets.
+DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )
+. $DIR/get_dataset_configs.sh
+
+################ Environment variables. ################
+# *Note*: See 'Required environment variables' in 'get_preprocess_cmd.sh' for
+# a description of the required environment variables. These variables can be
+# set however a user would like. In our setup, we use another bash script
+# (location defined by $RETRO_ENV_VARS) that sets all the environment variables
+# at once.
+. $RETRO_ENV_VARS
+
+################ Data blend. ################
+. ${DATA_BLEND_SCRIPT}
+DATA_PATH=${DATA_BLEND}
+
+######## Retro setup. ########
+RETRO_ADD_RETRIEVER=1
+RETRO_CYCLIC_TRAIN_ITERS=750000
+RETRO_NUM_NEIGHBORS=2
+
+######## Arguments. ########
+CHECKPOINT_DIR=${RETRO_WORKDIR}/checkpoints/${RETRO_ADD_RETRIEVER}
+TENSORBOARD_DIR="${CHECKPOINT_DIR}/tensorboard"
+mkdir -p ${TENSORBOARD_DIR}
+ARGS=" \
+    --save-interval 1000 \
+    --save ${CHECKPOINT_DIR} \
+    --load ${CHECKPOINT_DIR} \
+    --tensorboard-dir ${TENSORBOARD_DIR} \
+    --log-interval 5 \
+    --tensor-model-parallel-size 1 \
+    --pipeline-model-parallel-size 1 \
+    --num-layers 12 \
+    --hidden-size 768 \
+    --num-attention-heads 12 \
+    --seq-length 2048 \
+    --max-position-embeddings 2048 \
+    --micro-batch-size 4 \
+    --global-batch-size 256 \
+    --train-samples ${RETRO_GPT_TRAIN_SAMPLES}  \
+    --lr-decay-samples ${LR_DECAY_SAMPLES} \
+    --lr-warmup-samples ${LR_WARMUP_SAMPLES} \
+    --lr 6.0e-4 \
+    --min-lr 6.0e-5 \
+    --lr-decay-style cosine \
+    --eval-interval ${RETRO_GPT_EVAL_INTERVAL} \
+    --eval-iters ${RETRO_GPT_EVAL_ITERS} \
+    --data-path ${DATA_PATH} \
+    --vocab-file ${GPT_VOCAB_FILE} \
+    --merge-file ${GPT_MERGE_FILE} \
+    --split 98,2,0 \
+    --clip-grad 1.0 \
+    --weight-decay 0.1 \
+    --adam-beta1 0.9 \
+    --adam-beta2 0.95 \
+    --init-method-std 0.023 \
+    --log-params-norm \
+    --log-num-zeros-in-grad \
+    --fp16 \
+    --DDP-impl local \
+    --dataloader-type ${DATALOADER_TYPE} \
+    --no-data-sharding \
+    --no-gradient-accumulation-fusion \
+"
+
+if [ "$RETRO_ADD_RETRIEVER" = "0" ]; then
+    SCRIPT=pretrain_gpt.py
+else
+    ARGS="${ARGS} \
+    --retro-add-retriever \
+    --retro-workdir ${RETRO_WORKDIR} \
+    --retro-cyclic-train-iters ${RETRO_CYCLIC_TRAIN_ITERS} \
+    --retro-num-neighbors ${RETRO_NUM_NEIGHBORS} \
+    "
+    SCRIPT=pretrain_retro.py
+fi
+
+echo "~~~~~~~~~~~~~~~~~~~~~~~~~~"
+echo "ARGS = '$ARGS'."
+echo "~~~~~~~~~~~~~~~~~~~~~~~~~~"
+
+python -m torch.distributed.launch \
+    --nproc_per_node ${NPROCS} \
+    --nnodes 1 \
+    --node_rank 0 \
+    --master_addr localhost \
+    --master_port 6000 \
+    ${SCRIPT} \
+    ${ARGS} \